Main
Joshua Cook
Graduent Student Researcher
As an undergrad, I studied the parasite Toxoplasma gondii, and I currently study cancer genetics using bioinformatics with a specific focus on Bayesian methods. I am looking to once again switch disciplines but continue utilizing and improving my Bayesian statistical analysis skills.
Education
Harvard Medical School
Biomedical and Biological Sciences PhD. program
Boston, MA
2017
Studying cancer genetics with bioinformatics and statistical modeling.
University of California, Irvine
B.S. in Biochemistry and Molecular Biology & B.S. in Chemistry
Irvine, CA
2013 - 2017
Magna Cum Laude with a cumulative GPA of 3.94 and Honors in Biology.
Research Experience
Graduate Research Assistant
Beijing Institute of Genomics, Chinese Academy of Sciences
Beijing, China
2011 - 2014
- Performed computational biology research towards understanding regulation of alternative splicing in human and mouse transcriptome.
- Found EGFR pathway related mutations, aimed to understand the impacts of cancer mutations on EGFR signaling pathway.
Bioinformatican
My Health Gene Technology Co., Ltd.
Beijing, China
2015 - 2016
- Investigated how cancer cells spread to other parts of the body at the single cell level.
Visiting Scientist
University of Alabama at Birmingham
AL, USA
2016 - 2018
- Investigated the role of mitochondria in development of cancer.
- Investigated the evolution of genome architecture and its role in important evolutionary events.
- Detected thrombotic thrombocytopenic purpura related mutations in mutiple patients’ blood genome.
Professional Experience
Data Scientist, intern
SupStat Inc.
Beijing, China
2014
- Taught R language to beginners.
- Wrote Shiny app demos.
- Converted statistical tutorials from SPSS to R language.
Bioinformatician
My Health Gene Technology Co., Ltd.
Beijing, China
2015 - 2016
- Analyzed whole-exome sequencing data.
- Wrote analysis pipelines of ChIP-seq, single cell DNA-seq and single cell RNA-seq.
- Studied tumor metastasis and wrote research reports.
- Also did case studies to identify the genetic defect causing rare disease.
Teaching Experience
Introduction to R Language for Beginners.
Instructor of R and Data Mining Training Courses at SupStat Inc.
Beijing, China
2014
Computational Biology and Bioinformatics.
Teaching assistant of GBS CB2-201 courses at UAB
AL, USA
2016 - 2017
Selected Publications and Posters
Genetic and epigenetic signals are found predictive to the distribution of intra-individual divergence of alternative splicing.
Poster for 2013 International Conference of Genomics
Qingdao, China
2014
Yu L, Chen B, Zhang Z.
ESCRT-0 complex modulates Rbf mutant cell survival by regulating Rhomboid endosomal trafficking and EGFR signaling.
J Cell Sci. 2016 May 15;129(10):2075-84.
N/A
2016
Sheng Z, Yu L, Zhang T, Pei X, Li X, Zhang Z and Du W.